Topological and Statistical Methods for Complex Data Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Bennett, Janine (Επιμελητής έκδοσης), Vivodtzev, Fabien (Επιμελητής έκδοσης), Pascucci, Valerio (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
• Σειρά: Mathematics and Visualization,
• Θέματα: Mathematics.; Applied mathematics.; Engineering mathematics.; Algorithms.; Visualization.; Topology.; Manifolds (Mathematics).; Complex manifolds.; Statistics.; Statistical Theory and Methods.; Applications of Mathematics.; Manifolds and Cell Complexes (incl. Diff.Topology).

This book contains papers presented at the Workshop on the Analysis of Large-scale, High-Dimensional, and Multi-Variate Data Using Topology and Statistics, held in Le Barp, France, June 2013. It features the work of some of the most prominent and recognized leaders in the field who examine challenge...

Πίνακας περιεχομένων:

• I. Large-scale data analysis: In-situ and distributed analysis
• II. Large-scale data analysis: Efficient representation of large-functions
• III. Multi-variate data analysis: Structural techniques
• IV. Multi-variate data analysis: Classification and visualization of vector fields
•  V. High-dimensional data analysis: Exploration of high-dimensional models
• VI. High-dimensional data analysis: Analysis of large systems.